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Baidu Releases Quantum Machine Learning Toolkit

Baidu’s Paddle Quantum, built on top of the company’s deep learning platform Paddlepaddle, consists of a set of machine learning toolkits, including quantum development tools, a quantum chemistry library, and a set of features for optimization.

  • Baidu claims that the toolkit is the first deep learning framework in China to support quantum machine learning.
  • The platform allows develops to build simple quantum neural networks or develop their own models from the ground up, Baidu said.
  • Paddle Quantum is “more flexible” than similar systems by other companies, according to Baidu. The company claims that it has been able to simplify the implementation of a promising quantum algorithm by 50%.
  • Dubbed the Quantum Approximate Optimization Algorithm, researchers believe it could outperform classical algorithms in the next few years.

“From now on, researchers in the quantum field can use Paddle Quantum to develop quantum artificial intelligence, and our deep learning enthusiasts have a shortcut to learning quantum computing.”

—Duan Runyao, director of Baidu’s Quantum Computing Institute

Today Baidu also unveiled the latest version of its PaddlePaddle machine learning framework, which over the past few months has gained 39 new algorithms for a total of 146 and more than 200 pretrained models. Among them are Paddle.js, a deep learning JavaScript library that allows developers to embed AI within web browsers or programs in apps like Baidu App and WeChat; Parakeet, a text-to-speech toolkit with cutting-edge algorithms like Baidu’s latest proposed WaveNet model; Paddle Large Scale Classification Tools (PLSC), which enables image classification model training across graphics cards; and EasyData, a new drag-and-drop data service for data collection, labeling, cleaning, and enhancement.

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